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Investor Heterogeneity, Sentiment, and Skewness Preference in Options Market

Investor Heterogeneity, Sentiment, and Skewness Preference in Options Market
Author: Aristogenis Lazos
Publisher:
Total Pages: 31
Release: 2016
Genre:
ISBN:

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This paper builds upon and extends Bali and Murray (2013) to investigate skewness preferences when investors with heterogeneous expectations hold long skewness positions. When investors are pessimistic (either pessimistic or optimistic), their overconfidence produces a downward (upward) bias which explains their negative (positive) skewness preference. When investors are optimistic, their overconfidence is reflected in the bottom skewness portfolio which explains why they show a negative skewness preference as a result of overestimation for this portfolio. The over-or-under-valuation takes place in the absence of a risk-premium.


Options on Leveraged ETFs

Options on Leveraged ETFs
Author: Stephen Figlewski
Publisher:
Total Pages: 48
Release: 2014
Genre:
ISBN:

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A risk-neutral probability distribution (RND) for future S&P 500 returns extracted from index options contains investors' true expectations and also their risk preferences. But the empirical pricing kernel that emerges in a representative agent framework, which suppresses investor differences, is inconsistent with investor rationality. The anomalous shape can be generated easily in a model with heterogeneous investors facing limits to arbitrage, however. We explore investor heterogeneity directly via RNDs extracted from options on three exchange traded funds with leveraged short and long exposures to the S&P 500 index, and find large differences that are not arbitraged away. For example, holders of ETFs with short exposure to the market value payoffs in negative return states significantly more than those with long exposure do. Separating true expectations from risk premia requires further assumptions, so we consider polar cases in which either all investors have the same expectations but different risk preferences, or the reverse. The results are largely consistent with the expectations differences we anticipate from investors choosing short or leveraged long market exposure. We then look at changes in RNDs to see how realized returns affect investors with different expectations. A large negative realized return raises the median future return expected by bulls but lowers it for bears. Uncertainty over future returns widens for both types of investors when they are wrong and narrows when they are right.


Investor Behaviour Heterogeneity in the Options Market

Investor Behaviour Heterogeneity in the Options Market
Author: Nahla Boutouria
Publisher:
Total Pages: 8
Release: 2020
Genre:
ISBN:

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Behavioural finance confirmed the existence of two types of agents, fundamentalists and chartists, in the financial market. Fundamentalists follow the traditional efficiency market theory based on adaptive learning rule, whereas chartists follow the price tendency and past price movements. This paper examines the heterogeneity between fundamentalists and chartists. To this aim, we propose to introduce a sentiment variable in the classic model of Black and Scholes (1973) and to extract in a novel way the implied volatility variable. After that, we estimate the Markov switching model on this variable to test heterogeneity in the French market. The estimated daily data from 2009 to 2018 for 30 companies daily of CAC40 in a sectoral analysis confirm the evidence of heterogeneity between chartists and fundamentalists.


Skewness Preferences, Asset Prices, and Investor Sentiment

Skewness Preferences, Asset Prices, and Investor Sentiment
Author: Benjamin M. Blau
Publisher:
Total Pages: 28
Release: 2016
Genre:
ISBN:

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Prior research has found that investors have strong preferences for stocks with positive skewness. These preferences have been shown to lead to price premiums and subsequent underperformance. This study extends this growing body of literature by testing whether the underperformance of stocks with positive skewness is driven by periods of high investor sentiment. The motivation for these tests is based on a broad literature in Psychology that an individual's mood can directly affect the individual's subjective probability assessments. In the framework of our tests, more optimism among investors may strengthen investors' skewness preferences. The empirical results in this study support this idea as the underperformance of positively skewed stocks is shown to be primarily driven by periods of high investor sentiment.


Investors' Heterogeneity and Implied Volatility Smiles

Investors' Heterogeneity and Implied Volatility Smiles
Author: Tao Li
Publisher:
Total Pages: 41
Release: 2014
Genre:
ISBN:

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Heterogeneity in beliefs and time preferences among investors make stock volatility stochastic, even though the volatility of the underlying dividend is constant. The prices of the European options written on this stock admit closed-form solutions, hence their hedging deltas. The Black-Scholes implied volatility surface, which depends on wealth distribution, investors' beliefs and time preferences, exhibits observed patterns that are widely documented in various options markets. Along with benchmark models, the model is calibrated weekly to the S&P 500 index options from January 1996 to April 2006. It shows comparable performance to the SVJ model and outperforms the traders' rules and two no-arbitrage models (SV and SVSI) in terms of out-of-sample pricing errors.


Idiosyncratic Skewness Preference Or Measurement Error? Evidence from the Options Market

Idiosyncratic Skewness Preference Or Measurement Error? Evidence from the Options Market
Author: Kalok Chan
Publisher:
Total Pages: 30
Release: 2018
Genre:
ISBN:

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If the implied volatility is higher than the realized volatility, OTM call returns can be negative and decrease in strike prices/skewness, a return pattern also consistent with skewness preference. Empirically, we find the above return pattern is not driven by investors purchasing OTM calls, but only exists in short-term stock calls of small prices. We show large price survivorship bias elevates the call prices and causes the finding of the above return pattern. After calls whose prices are too small to quote are included, OTM call returns become positive and no longer decrease in strike skewness. Finally, we show measurement error also contributes to the finding of stock returns decreasing in ex-ante skewness computed from the options prices. Our study suggests the evidence for idiosyncratic skewness seeking from the option prices are not valid.


Investor Sentiment and Option Prices

Investor Sentiment and Option Prices
Author: Bing Han
Publisher:
Total Pages: 34
Release: 2007
Genre:
ISBN:

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This paper examines whether investor sentiment about the stock market affects prices of the Samp;P 500 options. I find that the index option volatility smile is steeper (flatter) and the risk-neutralskewness of monthly index return is more (less) negative when market sentiment becomes more bearish (bullish). These significant relations are robust and become stronger when there are moreimpediments to arbitrage in index options. They can not be explained by rational perfect-market based option-pricing models. Changes in sentiment help explain time variation in the slope of index option smile and risk-neutral skewness beyond factors suggested by the current models.


Heterogeneous Beliefs, Option Prices, and Volatility Smiles

Heterogeneous Beliefs, Option Prices, and Volatility Smiles
Author: Tao Li
Publisher:
Total Pages: 51
Release: 2018
Genre:
ISBN:

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In an economy in which investors with different time preferences have heterogeneous beliefs about a dividend's mean growth rate, the volatility of the stock that claims the dividend is stochastic in equilibrium. The prices of the vanilla European options that are written on this stock admit closed-form solutions, hence their hedging deltas. The Black-Scholes implied volatility surface exhibits the observed patterns that are widely documented in various options markets and depends on the wealth distribution, investors' beliefs, and subjective discount rates. In addition, the prices of barrier options and hedging deltas can be approximated at any desired level of accuracy. In some cases, barrier and one-touch option prices and their hedging deltas can be closely bounded by closed-form formulae. In summary, the options pricing model that is developed in this paper not only offers a rationale for the observed implied volatility patterns in an equilibrium setting but also is easy to use in practice. The model is calibrated to Samp;amp;P 500 index options daily from 1996 to 2006. The model fits the data pretty well and outperforms trader rules in the terms of out-of-sample valuation errors. lt;brgt;lt;brgt; A version of the model with learning, Investors' Heterogeneity and Implied Volatility Smiles, is available lt;a href=quot;https://ssrn.com/abstract=2237391quot;gt;HERElt;/agt;lt;brgt.